gstreamer/subprojects/gst-plugins-bad/ext/onnx/decoders/gstobjectdetectorutils.cpp

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/*
* GStreamer gstreamer-objectdetectorutils
* Copyright (C) 2023 Collabora Ltd
*
* gstobjectdetectorutils.cpp
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Library General Public
* License as published by the Free Software Foundation; either
* version 2 of the License, or (at your option) any later version.
*
* This library is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
* Library General Public License for more details.
*
* You should have received a copy of the GNU Library General Public
* License along with this library; if not, write to the
* Free Software Foundation, Inc., 51 Franklin St, Fifth Floor,
* Boston, MA 02110-1301, USA.
*/
#include "gstobjectdetectorutils.h"
#include <fstream>
#include "tensor/gsttensorid.h"
GstMlBoundingBox::GstMlBoundingBox (std::string lbl, float score, float _x0,
float _y0, float _width, float _height):
label (lbl),
score (score),
x0 (_x0),
y0 (_y0),
width (_width),
height (_height)
{
}
GstMlBoundingBox::GstMlBoundingBox ():
GstMlBoundingBox ("", 0.0f, 0.0f, 0.0f, 0.0f, 0.0f)
{
}
namespace GstObjectDetectorUtils
{
GstObjectDetectorUtils::GstObjectDetectorUtils ()
{
}
std::vector < std::string >
GstObjectDetectorUtils::ReadLabels (const std::string & labelsFile)
{
std::vector < std::string > labels;
std::string line;
std::ifstream fp (labelsFile);
while (std::getline (fp, line))
labels.push_back (line);
return labels;
}
std::vector < GstMlBoundingBox > GstObjectDetectorUtils::run (int32_t w,
int32_t h, GstTensorMeta * tmeta, std::string labelPath,
float scoreThreshold)
{
auto classIndex = gst_tensor_meta_get_index_from_id (tmeta,
gst_tensorid_get_quark (GST_MODEL_OBJECT_DETECTOR_CLASSES));
if (classIndex == GST_TENSOR_MISSING_ID) {
GST_ERROR ("Missing class tensor id");
return std::vector < GstMlBoundingBox > ();
}
auto type = tmeta->tensor[classIndex].type;
return (type == GST_TENSOR_TYPE_FLOAT32) ?
doRun < float >(w, h, tmeta, labelPath, scoreThreshold)
: doRun < int >(w, h, tmeta, labelPath, scoreThreshold);
}
template < typename T > std::vector < GstMlBoundingBox >
GstObjectDetectorUtils::doRun (int32_t w, int32_t h,
GstTensorMeta * tmeta, std::string labelPath, float scoreThreshold)
{
std::vector < GstMlBoundingBox > boundingBoxes;
GstMapInfo map_info[GstObjectDetectorMaxNodes];
GstMemory *memory[GstObjectDetectorMaxNodes] = { NULL };
std::vector < std::string > labels;
gint index;
T *numDetections = nullptr, *bboxes = nullptr, *scores =
nullptr, *labelIndex = nullptr;
// number of detections
index = gst_tensor_meta_get_index_from_id (tmeta,
gst_tensorid_get_quark (GST_MODEL_OBJECT_DETECTOR_NUM_DETECTIONS));
if (index == GST_TENSOR_MISSING_ID) {
GST_WARNING ("Missing tensor data for tensor index %d", index);
goto cleanup;
}
memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
if (!memory[index]) {
GST_WARNING ("Missing tensor data for tensor index %d", index);
goto cleanup;
}
if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
GST_WARNING ("Failed to map tensor memory for index %d", index);
goto cleanup;
}
numDetections = (T *) map_info[index].data;
// bounding boxes
index =
gst_tensor_meta_get_index_from_id (tmeta,
gst_tensorid_get_quark (GST_MODEL_OBJECT_DETECTOR_BOXES));
if (index == GST_TENSOR_MISSING_ID) {
GST_WARNING ("Missing tensor data for tensor index %d", index);
goto cleanup;
}
memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
if (!memory[index]) {
GST_WARNING ("Failed to map tensor memory for index %d", index);
goto cleanup;
}
if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
GST_ERROR ("Failed to map GstMemory");
goto cleanup;
}
bboxes = (T *) map_info[index].data;
// scores
index =
gst_tensor_meta_get_index_from_id (tmeta,
gst_tensorid_get_quark (GST_MODEL_OBJECT_DETECTOR_SCORES));
if (index == GST_TENSOR_MISSING_ID) {
GST_ERROR ("Missing scores tensor id");
goto cleanup;
}
memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
if (!memory[index]) {
GST_WARNING ("Missing tensor data for tensor index %d", index);
goto cleanup;
}
if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
GST_ERROR ("Failed to map GstMemory");
goto cleanup;
}
scores = (T *) map_info[index].data;
// optional label
labelIndex = nullptr;
index =
gst_tensor_meta_get_index_from_id (tmeta,
gst_tensorid_get_quark (GST_MODEL_OBJECT_DETECTOR_CLASSES));
if (index != GST_TENSOR_MISSING_ID) {
memory[index] = gst_buffer_peek_memory (tmeta->tensor[index].data, 0);
if (!memory[index]) {
GST_WARNING ("Missing tensor data for tensor index %d", index);
goto cleanup;
}
if (!gst_memory_map (memory[index], map_info + index, GST_MAP_READ)) {
GST_ERROR ("Failed to map GstMemory");
goto cleanup;
}
labelIndex = (T *) map_info[index].data;
}
if (!labelPath.empty ())
labels = ReadLabels (labelPath);
for (int i = 0; i < numDetections[0]; ++i) {
if (scores[i] > scoreThreshold) {
std::string label = "";
if (labelIndex && !labels.empty ())
label = labels[labelIndex[i] - 1];
auto score = scores[i];
auto y0 = bboxes[i * 4] * h;
auto x0 = bboxes[i * 4 + 1] * w;
auto bheight = bboxes[i * 4 + 2] * h - y0;
auto bwidth = bboxes[i * 4 + 3] * w - x0;
boundingBoxes.push_back (GstMlBoundingBox (label, score, x0, y0, bwidth,
bheight));
}
}
cleanup:
for (int i = 0; i < GstObjectDetectorMaxNodes; ++i) {
if (memory[i])
gst_memory_unmap (memory[i], map_info + i);
}
return boundingBoxes;
}
}